Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/2864
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dc.contributor.authorTayfur, Gökmen-
dc.date.accessioned2017-01-26T11:20:03Z
dc.date.available2017-01-26T11:20:03Z
dc.date.issued2009
dc.identifier.citationTayfur, G. (2009). GA-optimized model predicts dispersion coefficient in natural channels. Hydrology Research, 40(1), 65-75. doi:10.2166/nh.2009.010en_US
dc.identifier.issn0029-1277
dc.identifier.issn0029-1277-
dc.identifier.urihttp://doi.org/10.2166/nh.2009.010
dc.identifier.urihttp://hdl.handle.net/11147/2864
dc.description.abstractModels whose parameters were optimized by genetic algorithm (GA) were developed to predict the longitudinal dispersion coefficient in natural channels. Following the existing equations in the literature, ten different linear and nonlinear models were first constructed. The models relate the dispersion coefficient to flow and channel characteristics. The GA model was then employed to find the optimal values of the constructed model parameters by minimizing the mean absolute error function (objective function). The GA model utilized an 80% cross-over rate and 4% mutation rate. It started each computation with a population of 100 chromosomes in the gene pool. For each model, while minimizing the objective function, the values of the model parameters were constrained between [-10, +10] at each iteration. The optimal values of the model parameters were obtained using a calibration set of 54 out of 80 sets of measured data. The minimum error was obtained for the case where the model was a linear equation relating dispersion coefficient to flow discharge. The model performance was then satisfactorily tested against the remaining 26 measured validation datasets. It performed better than the existing equations. it yielded minimum errors of MAE = 21.4m2/s (mean absolute error) and RMSE = 28.5m2/s (root mean-squares error) and a maximum accuracy rate of 81%. © IWA Publishing 2009.en_US
dc.language.isoenen_US
dc.publisherIWA Publishingen_US
dc.relation.ispartofHydrology Researchen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectMathematical modelen_US
dc.subjectCross-overen_US
dc.subjectDispersion coefficienten_US
dc.subjectGene poolen_US
dc.subjectGenetic algorithmsen_US
dc.subjectMutationen_US
dc.titleGA-optimized model predicts dispersion coefficient in natural channelsen_US
dc.typeArticleen_US
dc.authoridTR2054en_US
dc.institutionauthorTayfur, Gökmen-
dc.departmentİzmir Institute of Technology. Civil Engineeringen_US
dc.identifier.volume40en_US
dc.identifier.issue1en_US
dc.identifier.startpage65en_US
dc.identifier.endpage75en_US
dc.identifier.wosWOS:000262450200006en_US
dc.identifier.scopus2-s2.0-59349086645en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.2166/nh.2009.010-
dc.relation.doi10.2166/nh.2009.010en_US
dc.coverage.doi10.2166/nh.2009.010en_US
dc.identifier.wosqualityQ4-
dc.identifier.scopusqualityQ1-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.grantfulltextopen-
crisitem.author.dept03.03. Department of Civil Engineering-
Appears in Collections:Civil Engineering / İnşaat Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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